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Near-Optimal Entrywise Sampling for Data Matrices

Near-Optimal Entrywise Sampling for Data Matrices

Neural Information Processing Systems (NeurIPS), 2013
19 November 2013
D. Achlioptas
Zohar Karnin
Edo Liberty
ArXiv (abs)PDFHTML

Papers citing "Near-Optimal Entrywise Sampling for Data Matrices"

16 / 16 papers shown
Even Sparser Graph Transformers
Even Sparser Graph TransformersNeural Information Processing Systems (NeurIPS), 2024
Hamed Shirzad
Honghao Lin
B. Venkatachalam
A. Velingker
David P. Woodruff
Danica J. Sutherland
GNN
446
11
0
25 Nov 2024
Neural Network Pruning as Spectrum Preserving Process
Neural Network Pruning as Spectrum Preserving Process
S. Yao
Dantong Yu
I. Koutis
CVBM
175
1
0
18 Jul 2023
Importance Sparsification for Sinkhorn Algorithm
Importance Sparsification for Sinkhorn AlgorithmJournal of machine learning research (JMLR), 2023
Mengyun Li
Jun Yu
Tao Li
Cheng Meng
OT
421
15
0
11 Jun 2023
Graph Enabled Cross-Domain Knowledge Transfer
Graph Enabled Cross-Domain Knowledge Transfer
S. Yao
237
0
0
07 Apr 2023
On Recovering the Best Rank-r Approximation from Few Entries
On Recovering the Best Rank-r Approximation from Few Entries
Shun Xu
M. Yuan
280
0
0
11 Nov 2021
Effective Data-aware Covariance Estimator from Compressed Data
Effective Data-aware Covariance Estimator from Compressed DataIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Xixian Chen
Haiqin Yang
Shenglin Zhao
Michael R. Lyu
Irwin King
187
6
0
10 Oct 2020
Spectral estimation from simulations via sketching
Spectral estimation from simulations via sketching
Zhishen Huang
Stephen Becker
184
4
0
21 Jul 2020
Temporal Network Sampling
Temporal Network Sampling
Nesreen Ahmed
N. Duffield
Ryan A. Rossi
AI4TS
239
4
0
18 Oct 2019
Adaptive Shrinkage Estimation for Streaming Graphs
Adaptive Shrinkage Estimation for Streaming Graphs
Nesreen Ahmed
N. Duffield
335
2
0
02 Aug 2019
Exploiting Numerical Sparsity for Efficient Learning : Faster
  Eigenvector Computation and Regression
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
Neha Gupta
Aaron Sidford
265
13
0
27 Nov 2018
Effective Tensor Sketching via Sparsification
Effective Tensor Sketching via Sparsification
Dong Xia
M. Yuan
436
8
0
31 Oct 2017
Preconditioned Data Sparsification for Big Data with Applications to PCA
  and K-means
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means
Farhad Pourkamali Anaraki
Stephen Becker
495
61
0
31 Oct 2015
Provably Correct Algorithms for Matrix Column Subset Selection with
  Selectively Sampled Data
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
Yining Wang
Aarti Singh
406
25
0
17 May 2015
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
863
1,275
0
07 Jan 2015
On the Power of Adaptivity in Matrix Completion and Approximation
On the Power of Adaptivity in Matrix Completion and Approximation
A. Krishnamurthy
Aarti Singh
223
35
0
14 Jul 2014
Approximate Matrix Multiplication with Application to Linear Embeddings
Approximate Matrix Multiplication with Application to Linear Embeddings
Anastasios Kyrillidis
M. Vlachos
Anastasios Zouzias
167
16
0
30 Mar 2014
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